{"id":"W4213077195","doi":"10.3390/molecules27041363","title":"Optimization of the Extraction of Proanthocyanidins from Grape Seeds Using Ultrasonication-Assisted Aqueous Ethanol and Evaluation of Anti-Steatosis Activity In Vitro","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proanthocyanidin; Chemistry; Extraction (chemistry); Chromatography; Sonication; Pomace; Ethanol; Nutraceutical; Food science; Response surface methodology; Wine; Tannin; Polyphenol; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620732,0.00007322112,0.0002213723,0.00009626427,0.00004733488,0.000003129142,0.00005052628,0.00004226662,0.00001664678],"category_scores_gemma":[0.0001081134,0.00006314163,0.00005790447,0.0002947378,0.0000766858,0.00007200828,0.00003864991,0.0001084625,1.361217e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007065928,"about_ca_system_score_gemma":0.0001432986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477581,"about_ca_topic_score_gemma":0.000006000887,"domain_scores_codex":[0.9989808,0.0002028888,0.0002225113,0.0001386661,0.0003870376,0.00006805004],"domain_scores_gemma":[0.9992895,0.00008938904,0.0003255372,0.0001635067,0.0001181541,0.00001394983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001583959,0.0003122795,0.007433951,0.00005577662,0.0000351837,2.833225e-7,0.0002473775,0.005886503,0.9835458,0.000006235942,7.259028e-7,0.002317516],"study_design_scores_gemma":[0.0005774198,0.00003423987,0.09612444,0.00007530488,0.000155905,0.000008114814,0.0002394274,0.09153816,0.8111678,0.00003581227,6.768083e-7,0.00004269819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980397,0.0002979788,0.0009986741,0.0001040193,0.00003049992,0.0003886523,0.0000582642,0.00000615084,0.00007610107],"genre_scores_gemma":[0.9983864,0.00004394069,0.001497111,0.000007293269,0.00000723506,0.00002370119,0.00002274863,0.000009355998,0.000002258354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172378,"threshold_uncertainty_score":0.2574841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826829073635405,"score_gpt":0.3028070268154215,"score_spread":0.2645387360790675,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}